Research afternoon on Spatial Statistics in Medical Applications The event will showcase (i) statistical methods for spatial data, and (ii) biomedical questions deserving of analysis using such methods. Our aim overall is to stimulate discussion and interaction between statisticians and biomedical scientists that will then draw the two fields closer together and potentially catalyse new collaborations. After an introduction, there will be 10 presentations (5 mins plus 10 mins Q&A) alternating between “statistical methods” and “biomedical applications”. The event is free and open to all, but registration is required for catering purposes -- please register via the link below indicating any relevant dietary requirements. Registration is now full -- please contact us via email if you would like to attend, and we will try to accommodate you. Tentative Schedule 12.00noon - 12.45pm Lunch and coffee 12.45pm - 1.05pm Nicole Augustin Introduction: Statistical Challenges when modelling spatial data - model selection in the presence of spatial confounding and a very large number of correlated predictors with non-linear effects. 1.05pm - 1.20pm Finn Lindgren Methods: Spatial and hierarchical modelling with INLA/inlabru 1.20pm - 1:35pm Kylie Matchett Applications: Single cell and spatial technologies decode human liver regeneration 1.35pm - 1.50pm Linus Schumacher/Giuseppe Torrisi/Luciana Luque Methods: Cell type identification and neighbourhood analysis in imaging mass cytometry data 1.50pm - 2.05pm Linus Schumacher/Giuseppe Torrisi/Luciana Luque Applications: Prediction of chemotherapy response in triple negative breast cancer 2.05pm - 2.20pm Simon Wood Methods: Neighbourhood cross validation for regression models of spatial data 2.20pm - 2.35pm SHORT BREAK 2.35pm - 2.50pm Ruth Andrew Applications: MS imaging data and the challenges data handling 2.50pm - 3.05pm Sjoerd Beentjes Methods: A quick review of statistical and ML methods for spatial transcriptomics data 3.05pm - 3.20pm Anna Williams Applications: Focal brain diseases (such as multiple sclerosis and cerebral small vessel disease) need focal techniques! 3.20pm - 3.35pm Cecilia Balocchi Methods: Spatial partitions for areal data 3.35pm - 3.50pm Stefan Veizades Applications: Spatial transcriptomic profiling of human disease states: considerations and challenges to enable statistical testing 3.50pm - 4pm Wrap-up Organised by Chris Ponting, Natalia Bochkina and Tim Cannings. Oct 27 2023 12.00 - 16.00 Research afternoon on Spatial Statistics in Medical Applications The afternoon will provide an opportunity for some to showcase their spatial statistical methods, and for others to explain their aspirations for and problems with analysing spatial biomedical data. JCMB 6201
Research afternoon on Spatial Statistics in Medical Applications The event will showcase (i) statistical methods for spatial data, and (ii) biomedical questions deserving of analysis using such methods. Our aim overall is to stimulate discussion and interaction between statisticians and biomedical scientists that will then draw the two fields closer together and potentially catalyse new collaborations. After an introduction, there will be 10 presentations (5 mins plus 10 mins Q&A) alternating between “statistical methods” and “biomedical applications”. The event is free and open to all, but registration is required for catering purposes -- please register via the link below indicating any relevant dietary requirements. Registration is now full -- please contact us via email if you would like to attend, and we will try to accommodate you. Tentative Schedule 12.00noon - 12.45pm Lunch and coffee 12.45pm - 1.05pm Nicole Augustin Introduction: Statistical Challenges when modelling spatial data - model selection in the presence of spatial confounding and a very large number of correlated predictors with non-linear effects. 1.05pm - 1.20pm Finn Lindgren Methods: Spatial and hierarchical modelling with INLA/inlabru 1.20pm - 1:35pm Kylie Matchett Applications: Single cell and spatial technologies decode human liver regeneration 1.35pm - 1.50pm Linus Schumacher/Giuseppe Torrisi/Luciana Luque Methods: Cell type identification and neighbourhood analysis in imaging mass cytometry data 1.50pm - 2.05pm Linus Schumacher/Giuseppe Torrisi/Luciana Luque Applications: Prediction of chemotherapy response in triple negative breast cancer 2.05pm - 2.20pm Simon Wood Methods: Neighbourhood cross validation for regression models of spatial data 2.20pm - 2.35pm SHORT BREAK 2.35pm - 2.50pm Ruth Andrew Applications: MS imaging data and the challenges data handling 2.50pm - 3.05pm Sjoerd Beentjes Methods: A quick review of statistical and ML methods for spatial transcriptomics data 3.05pm - 3.20pm Anna Williams Applications: Focal brain diseases (such as multiple sclerosis and cerebral small vessel disease) need focal techniques! 3.20pm - 3.35pm Cecilia Balocchi Methods: Spatial partitions for areal data 3.35pm - 3.50pm Stefan Veizades Applications: Spatial transcriptomic profiling of human disease states: considerations and challenges to enable statistical testing 3.50pm - 4pm Wrap-up Organised by Chris Ponting, Natalia Bochkina and Tim Cannings. Oct 27 2023 12.00 - 16.00 Research afternoon on Spatial Statistics in Medical Applications The afternoon will provide an opportunity for some to showcase their spatial statistical methods, and for others to explain their aspirations for and problems with analysing spatial biomedical data. JCMB 6201
Oct 27 2023 12.00 - 16.00 Research afternoon on Spatial Statistics in Medical Applications The afternoon will provide an opportunity for some to showcase their spatial statistical methods, and for others to explain their aspirations for and problems with analysing spatial biomedical data.
